List of Laboratories
|S.No||Year||Semester||Lab Code||Lab Name|
|1||1||1||Lab – I||Advanced Data Structures Lab|
|2||1||1||Lab – II||Machine Learning Lab|
|3||1||2||Lab – III||Advanced Algorithms Lab|
|4||1||2||Lab – IV||Data Science Lab|
1. ADVANCED DATA STRUCTURES LAB:
In this lab, extend the student’s knowledge of algorithms and data structures and to enhance their expertise in algorithmic analysis and algorithm design techniques. To learn a variety of useful algorithms and techniques and to extrapolate from them in order to apply those algorithms and techniques to solve problems.
It covers various concepts of C programming language, searching and sorting algorithms, stacks and queues. It gives Ability to develop C programs for computing and real-life applications using basic elements like control statements, arrays, functions, pointers and strings, and data structures like stacks, queues and linked lists
2. MACHINE LEARNING LAB:
In this lab serves as understand the implementation procedures for the machine learning algorithms and design Java/Python programs for various Learning algorithm, apply appropriate data sets to the Machine Learning algorithms, identify and apply Machine Learning algorithms to solve real world problems.
3. ADVANCED ALGORITHMS LAB:
In this lab serve as provide students with in-depth knowledge on the key elements in computer programming and introduce and practice advanced algorithms and programming techniques necessary for developing sophisticated computer application programs and design and implement efficient algorithms for solving computing problems in a high-level object-oriented programming language (e.g., C++ or Java).
4. DATA SCIENCE LAB:
Data Science Lab is to develop new algorithms and software tools for data management and mining, and to use them for social good. Students will apply data science concepts and methods to solve problems in real-world contexts and will communicate these solutions effectively and demonstrate proficiency with statistical analysis of data and assess data-based models and to execute statistical analyses with professional statistical software